title: Bayesian inference in auditory scenes.
abstract: The cocktail party problem is a multi-faceted challenge which encompasses various aspects of auditory perception. Its processes underlie the brain's ability to detect, identify and classify sound objects; to robustly represent and maintain speech intelligibility amidst severe distortions; and to guide actions and behaviors in line with complex goals and shifting acoustic soundscapes. Here, we present a perspective that considers the powerful Bayesian inference as a unifying framework to integrate the role of sensory cues as well as stimulus-driven priors and top-down schemas including attention.
authors.forename: Mounya
authors.initials: M
authors.lastname: Elhilali
mesh_terms: D000222:Adaptation, Physiological; D001303:Auditory Cortex / Q000502:physiology; D001307:Auditory Perception / Q000502:physiology*; D001499:Bayes Theorem; D006801:Humans; D013016:Sound